Applied Informatics for Industry 4.0

Inbunden, Engelska, 2023

AvNazmul Siddique,Mohammad Shamsul Arefin,Julie Wall,M Shamim Kaiser

1 789 kr

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Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.

Produktinformation

Utgivningsdatum2023-02-17
Mått178 x 254 x 25 mm
Vikt762 g
FormatInbunden
SpråkEngelska
Antal sidor319
FörlagTaylor & Francis Ltd
ISBN9781032164144

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Preface Contributors Editors Chapter 1 ■ Cloud-based Smart Parking Systems Using IoT Chapter 2 ■ Empirical Study on Dimensionality Reduction Approach for F-CommerceDataset by Principal Component Analysis Chapter 3 ■ Analysis of Online Purchase Intentions of Young Bangladeshi Social Network Users Chapter 4 ■ An Ethereum Blockchain-Based Healthcare System UsingSmart Contract Chapter 5 ■ Bangla Fake News Detection Using Hybrid Deep LearningModels Chapter 6 ■ Adaptive Decay and Radius-Based Evolving Clustering Approachfor Data Stream Chapter 7 ■ Solar-Powered Smart Street Light and Surveillance SystemUsing IoT Chapter 8 ■ Analysis of Aquaculture for Cultivating Different Types of Fish 84Chapter 9 ■ Crime-finder: A System for Extraction and Visualization ofCrime Data from Bengali Online Newspaper Articles Chapter 10 ■ BERT-Based Emotion Classification Approach with Analysisof COVID-19 Pandemic Tweets Chapter 11 ■ Emotion Detection from Natural Text using Embedding TechniquesChapter 12 ■ Performance Analysis of Energy-Aware DTN Routing Protocolsin Opportunistic NetworksChapter 13 ■ Performance Investigation among Heterogeneous RoutingTechniques in Wireless Sensor NetworksChapter 14 ■ Analysis of Physical and Psychological Impacts to PredictSatisfaction of Students towards E-Learning during COVID-19 Pandemic Chapter 15 ■ SeniorsAid: Requirements, Elicitation, and Development of aMobile App for SeniorsChapter 16 ■ Comparative Study of Big Data Visualization Tools and TechniquesChapter 17 ■ Low-cost IoT-based Power Interruption Monitoring System Chapter 18 ■ Multilevel Voting Models in Cyber Aggression Detection forBangla Texts Chapter 19 ■ A Cognitive Approach for Load Adaptive MAC Protocol inWireless Body Area Networks Chapter 20 ■ Discrete Tone Driven Directional Rate Controlled CommunicationSystem for Wireless Networks Chapter 21 ■ Blockchain-Based Secure Medical Data Management withEnabling IoT Chapter 22 ■ Bio-Inspired Meta-Heuristic Techniques for DC-DC BoostConverter with LQR Controller in a DC Microgrid Chapter 23 ■ Mining Significant Pre-diabetes Features of Diabetes Mellitus:A Case Study of Noakhali, Bangladesh Chapter 24 ■ IoT-Based Smart Kitchen Security System Index